Textual Clustering Analysis of River Chief System Policy in China
- 10.2991/978-94-6463-064-0_17How to use a DOI?
- river chief system; text clustering; Linear discriminant analysis
The river chief system is an innovation of China’s water resources management system, the core of which is to control and protect the water environment of rivers and lakes. The optimization of the river chief system cannot be achieved without the support and guarantee of policies. In this paper, the author adopts big data text clustering methods, such as the Linear discriminant analysis (LDA) model, to collect the topics of China’s river chief system policies and identify the policy texts’ potential topic information, intensity, and structural features. It is found that the topic of China’s river chief system policy has low topic similarity and little difference in topic intensity. In addition, policies enacted focus more on law enforcement supervision, ecological governance, performance appraisal, information management, and other fields, while policies on public participation and watershed coordination are insufficiently supplied. In the future, policy supply in this respect should be strengthened.
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Cite this article
TY - CONF AU - Zhimo Zhao PY - 2022 DA - 2022/12/27 TI - Textual Clustering Analysis of River Chief System Policy in China BT - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) PB - Atlantis Press SP - 151 EP - 160 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-064-0_17 DO - 10.2991/978-94-6463-064-0_17 ID - Zhao2022 ER -